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Position: Research Assistant in Epidemiology
Institution: University College London
Department: UCL Great Ormond Street Institute of Child Health - Population, Policy and Practice Programme
Location: London, United Kingdom
Duties: An increasing number of children are living with rare diseases, as a result of improved drug treatments and neonatal care. Rare conditions often lack effective treatments, or if treatments are available, data on long-term effectiveness are limited. The aim of the project is to establish a population-based birth cohort resource, with linkage to administrative data on long-term outcomes, to address this data gap. The cohort resource will be constructed by linking administrative data, collected as part of National Health Service (NHS) care, education and civil registration services, to a large database of newborn screening records (from approximately 2 million children) held by the North Thames Newborn Screening Laboratory
Requirements: This post is suitable for an individual with a quantitative background who would like an introduction to structuring and analysing NHS databases for research; This three month post can be carried out full or part-time and we will consider BSc, MSc or PhD students as applicants. The post offers opportunities for training in information governance and analysing routinely collected NHS databases for research
   
Text: Research Assistant in Epidemiology, - Ref:1863333 Click here to go back to search results Apply Now UCL Department / Division UCL Great Ormond Street Institute of Child Health Specific unit / Sub department Population, Policy and Practice Programme Location of position London Grade 6 Hours Full Time Salary (inclusive of London allowance) £31,479 £32,324 per annum pro rata Duties and Responsibilities An increasing number of children are living with rare diseases, as a result of improved drug treatments and neonatal care. Rare conditions often lack effective treatments, or if treatments are available, data on long-term effectiveness are limited. The aim of the project is to establish a population-based birth cohort resource, with linkage to administrative data on long-term outcomes, to address this data gap. The cohort resource will be constructed by linking administrative data, collected as part of National Health Service (NHS) care, education and civil registration services, to a large database of newborn screening records (from approximately 2 million children) held by the North Thames Newborn Screening Laboratory. The post holder will lead the work to convert a clinical register of approximately 1800 children referred to the congenital hypothyroidism clinic at GOSH into a relational database. This is will involve data entry, but also offers the opportunity to apply novel methodologies including natural language processing. The post is funded by the Great Ormond Street Hospital Biomedical Research Centre for 3 months. Key Requirements This post is suitable for an individual with a quantitative background who would like an introduction to structuring and analysing NHS databases for research. This three month post can be carried out full or part-time and we will consider BSc, MSc or PhD students as applicants. The post offers opportunities for training in information governance and analysing routinely collected NHS databases for research. Further Details A job description and full person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the Apply Now button below. If you are unable to apply online please contact ICH Human Resources at ich.hr@ucl.ac.uk quoting the job reference. UCL Taking Action for Equality Closing Date 26 Apr 2020 Latest time for the submission of applications 23.59 Interview date TBC Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job Description Apply Now
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